Issue |
MATEC Web Conf.
Volume 228, 2018
2018 3rd International Conference on Circuits and Systems (CAS 2018)
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Article Number | 02011 | |
Number of page(s) | 4 | |
Section | Communications and Information Technology | |
DOI | https://doi.org/10.1051/matecconf/201822802011 | |
Published online | 14 November 2018 |
Risk Assessment of Warship (Automatic) Navigation Plan Based on SVM
Dalian Naval Academy of the PLA, Dalian, Liaoning, China
The automatic control of naval vessels is based on the navigational plan, and the navigational safety depends on the scientific nature of the plan, so the risk assessment of the navigational plan is very important. At present, the commonly used evaluation methods are too subjective. In this paper, an evaluation model based on support vector machine is proposed, and the empirical study is carried out with historical data. The results show that the evaluation model based on support vector machine has good self-learning ability and feature extraction ability, which can provide reference for the risk assessment of naval vessels.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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